Integrating Molecular Simulations and Machine Learning for Predicting HFC Adsorption in Zeolites
This study develops and validates transparent machine learning surrogates using ensemble regressors to predict HFC adsorption loading and isosteric heat in specific zeolites, demonstrating high accuracy for interpolation within the studied chemical domain while explicitly defining limits for extrapolation to unseen materials.